- Salt Marsh Restoration – Funded by NSF/USDA NIFA
As sea level slowly rises, many marshes can enhance C sequestration through sediment trapping and soil organic carbon (SOC) accumulation. SOC, often measured generally by proxy of soil organic matter (SOM), is a key parameter reflecting marsh accretion. With increasing rates of sea-level rise, some marshes have been unable to respond adequately, and the marsh platform becomes unstable; this phenomenon is projected to lead to reduced primary productivity, increased erosion, and eventually, mineralization of the stored SOM. Surface and belowground SOM is a critical soil property to salt marsh resilience. Surface and belowground SOM data in salt marshes obtained through remotely and continuous data collection in conjunction with field observations and predictions from machine learning (ML) algorithms will provide insight into the challenges faced by salt marsh research groups.
- Use of Non-Destructive Technologies for Civil Infrastructure Health Monitoring
Our group has established a Ground Penetrating Radar (GPR) System to look beneath the surface of roadways in a non-invasive manner at a highway speed (65 mph) and assess their condition beyond what the naked eye can see. With a developed machine learning algorithm, Kim lab group uses the scanned GPR data: 1) to detect sinkhole potential and 2) to predict the potential pavement structural deterioration due to the weak pavement foundation.
- Researches on Mechanistic-Empirical Pavement Design Guide
Kim lab group has pursued researches to directly advance the art of sustainable pavement materials, design and maintenance. The area of Kim lab research is, but not limited to, in research and testing of pavement materials such as asphalt concrete, Portland cement concrete, aggregates, and soils to create truly sustainable pavements to build roadways at optimal costs. Dr. Kim has been a PI or Co-PI on numerous awarded external grants in this area. Based on the pavement researches funded by GDOT, Kim lab group has compiled all the pavement research outcomes into the GDOT Mechanistic-Empirical Pavement Design (MEPDG) Manual. In this design manual, Kim lab group provided guidance and recommendations to the Georgia engineers for utilizing the new MEPDG to more accurately design pavement structure and evaluate pavement performance. Kim lab group also developed a set of guidelines for the forensic analysis of damaged pavement that outline best methods for pavement repair and replacement for roadways. This step-by-step analysis enables the state highway agencies to identify problems early, fix the pavement distresses, and avoid costly delays.